Method for Kernel Correlation-Based Spectral Data Processing
    1.
    发明申请
    Method for Kernel Correlation-Based Spectral Data Processing 审中-公开
    基于内核相关的频谱数据处理方法

    公开(公告)号:US20150363361A1

    公开(公告)日:2015-12-17

    申请号:US14305637

    申请日:2014-06-16

    Inventor: Andrei Kniazev

    CPC classification number: G06K9/6224 G05B23/0224 G06F17/10 G06N20/00

    Abstract: Data points of input data are processed by first determining a Laplacian matrix for the data. A spectrum of the Laplacian matrix includes an attractive spectrum of positive eigenvalues, a repulsive spectrum of negative eigenvalues, and a neutral spectrum of zero eigenvalues. An operation for the processing is determined using the Laplacian matrix, using information about the attractive spectrum, the repulsive spectrum, and the neutral spectrum, wherein the information includes the spectra and properties derived from the Spectra. Then, the operation is performed to produce processed data.

    Abstract translation: 通过首先确定数据的拉普拉斯矩阵来处理输入数据的数据点。 拉普拉斯矩阵的频谱包括正特征值的吸引谱,负特征值的排斥谱和零特征值的中性谱。 使用拉普拉斯矩阵,使用关于吸引光谱,排斥光谱和中性光谱的信息来确定处理的操作,其中信息包括从光谱得到的光谱和性质。 然后,执行操作以产生处理的数据。

    Method and Apparatus for Preconditioned Continuation Model Predictive Control
    3.
    发明申请
    Method and Apparatus for Preconditioned Continuation Model Predictive Control 审中-公开
    预处理连续模型预测控制方法与装置

    公开(公告)号:US20150253749A1

    公开(公告)日:2015-09-10

    申请号:US14199459

    申请日:2014-03-06

    CPC classification number: G05B13/048 G05B13/04 G06F17/11 G06F17/16

    Abstract: A method for a continuation model predictive control (CMPC) of a system determines at least a part of a preconditioner using an approximate coefficient function and determines a solution vector by solving a matrix equation of the CMPC with a coefficient matrix defined by an exact coefficient function at a current time step of a control using an iterative method with the preconditioner. The approximate coefficient function applied to a vector approximates a result of an application of the exact coefficient function to the vector. A control signal for controlling the system is generated using the solution vector.

    Abstract translation: 一种用于系统的连续模型预测控制(CMPC)的方法使用近似系数函数确定预处理器的至少一部分,并且通过利用由精确系数函数定义的系数矩阵求解CMPC的矩阵方程来确定解向量 在使用预处理器的迭代方法的控制的当前时间步骤。 应用于向量的近似系数函数近似于将精确系数函数应用于向量的结果。 使用解向量生成用于控制系统的控制信号。

    System and Method for Determining Surface Defects
    4.
    发明申请
    System and Method for Determining Surface Defects 审中-公开
    确定表面缺陷的系统和方法

    公开(公告)号:US20140172144A1

    公开(公告)日:2014-06-19

    申请号:US13716670

    申请日:2012-12-17

    Inventor: Andrei Kniazev

    CPC classification number: G06F17/5009 G06T7/001 G06T7/68 G06T2207/30164

    Abstract: A method determines a defect on a surface of an object. A symmetric representation of at least part of the object is generated and a pair of unmatched areas between the surface of the object and a surface of the symmetric representation is determined. Next, the defect on the surface of the object is determined based on the pair of unmatched areas.

    Abstract translation: 一种方法确定对象表面上的缺陷。 产生对象的至少一部分的对称表示,并且确定对象的表面与对称表示的表面之间的一对不匹配的区域。 接下来,基于一对不匹配的区域来确定对象表面上的缺陷。

    Model Predictive Control with Uncertainties
    5.
    发明申请

    公开(公告)号:US20180275621A1

    公开(公告)日:2018-09-27

    申请号:US15468481

    申请日:2017-03-24

    CPC classification number: G05B13/048

    Abstract: A model predictive control (MPC) system for controlling an operation of a machine according to a model of the machine dynamics optimizes a cost function over a time-horizon subject to constraints to produce a sequence of control inputs to control the state of the machine over the time horizon. The machine is control using the first control input in the sequence. The cost function includes a first term defined by an objective of the MPC and a second term penalizing deviation of a state of the machine from a value satisfying an equation of dynamics of the machine.

    Method and apparatus for preconditioned continuation model predictive control
    6.
    发明授权
    Method and apparatus for preconditioned continuation model predictive control 有权
    预处理连续模型预测控制的方法和装置

    公开(公告)号:US09581981B2

    公开(公告)日:2017-02-28

    申请号:US14199459

    申请日:2014-03-06

    CPC classification number: G05B13/048 G05B13/04 G06F17/11 G06F17/16

    Abstract: A method for a continuation model predictive control (CMPC) of a system determines at least a part of a preconditioner using an approximate coefficient function and determines a solution vector by solving a matrix equation of the CMPC with a coefficient matrix defined by an exact coefficient function at a current time step of a control using an iterative method with the preconditioner. The approximate coefficient function applied to a vector approximates a result of an application of the exact coefficient function to the vector. A control signal for controlling the system is generated using the solution vector.

    Abstract translation: 一种用于系统的连续模型预测控制(CMPC)的方法使用近似系数函数确定预处理器的至少一部分,并且通过利用由精确系数函数定义的系数矩阵求解CMPC的矩阵方程来确定解向量 在使用预处理器的迭代方法的控制的当前时间步骤。 应用于向量的近似系数函数近似于将精确系数函数应用于向量的结果。 使用解向量生成用于控制系统的控制信号。

    Method and system for reconstructing sampled signals
    7.
    发明授权
    Method and system for reconstructing sampled signals 有权
    重建采样信号的方法和系统

    公开(公告)号:US09510787B2

    公开(公告)日:2016-12-06

    申请号:US14567015

    申请日:2014-12-11

    Abstract: A method reconstructs a signal by sampling the signal using a sampling procedure to obtain an input signal. A consistent set is determined from the input signal including the first elements such that applying the sampling procedure to the first elements results in the input signal. According to the type of the signal, a guiding set is determined including second elements disjoint from the first elements. A reconstruction set including third elements is generated so that the third elements minimize a sum of a first similarity measure of the third elements to the second elements and a second similarity measure of the third elements to the first elements. A transformed signal that minimizes a function on the reconstruction set is determined. A reconstructed signal is rendered so that a third similarity measure of the reconstructed signal to the transformed signal is smaller than a tolerance.

    Abstract translation: 一种方法通过使用采样程序采样信号来重建信号以获得输入信号。 从包括第一元件的输入信号确定一致的集合,使得对第一元素应用采样过程导致输入信号。 根据信号的类型,确定包括与第一元件不相交的第二元素的引导集合。 生成包括第三元素的重建集合,使得第三元素使第三元素与第二元素的第一相似性度量和第一元素的第三元素的第二相似性度量的和最小化。 确定最小化重建集上的功能的变换信号。 渲染重构的信号,使得重构信号与变换信号的第三相似性度量小于公差。

    System and Method for Controlling System
    8.
    发明申请
    System and Method for Controlling System 审中-公开
    控制系统与方法

    公开(公告)号:US20160246266A1

    公开(公告)日:2016-08-25

    申请号:US14631159

    申请日:2015-02-25

    Abstract: A controller for controlling a system includes a non-transitory computer-readable memory storing data for an operation and a control of the system and at least one processor operatively connected to the memory for determining a control signal transitioning a state of the system from a current state to a next state. At least two instances of the data are stored in the memory with different precisions defined by numbers of bits storing the instance in the memory. The processor determines the control signal using the instances of the data with the different precisions.

    Abstract translation: 用于控制系统的控制器包括存储用于操作和用于系统的控制的数据的非暂时计算机可读存储器,以及可操作地连接到存储器的至少一个处理器,用于确定将系统的状态从当前状态转变的控制信号 状态到下一个状态。 数据的至少两个实例以不同的精度存储在存储器中,该精度由存储在存储器中的实例的位数定义。 处理器使用具有不同精度的数据实例来确定控制信号。

    Method and System for Reconstructing Sampled Signals
    9.
    发明申请
    Method and System for Reconstructing Sampled Signals 有权
    重构采样信号的方法和系统

    公开(公告)号:US20160173736A1

    公开(公告)日:2016-06-16

    申请号:US14567015

    申请日:2014-12-11

    Abstract: A method reconstructs a signal by sampling the signal using a sampling procedure to obtain an input signal. A consistent set is determined from the input signal including the first elements such that applying the sampling procedure to the first elements results in the input signal. According to the type of the signal, a guiding set is determined including second elements disjoint from the first elements. A reconstruction set including third elements is generated so that the third elements minimize a sum of a first similarity measure of the third elements to the second elements and a second similarity measure of the third elements to the first elements. A transformed signal that minimizes a function on the reconstruction set is determined. A reconstructed signal is rendered so that a third similarity measure of the reconstructed signal to the transformed signal is smaller than a tolerance.

    Abstract translation: 一种方法通过使用采样程序采样信号来重建信号以获得输入信号。 从包括第一元件的输入信号确定一致的集合,使得对第一元素应用采样过程导致输入信号。 根据信号的类型,确定包括与第一元件不相交的第二元素的引导集合。 生成包括第三元素的重建集合,使得第三元素使第三元素与第二元素的第一相似性度量和第一元素的第三元素的第二相似性度量的和最小化。 确定最小化重建集上的功能的变换信号。 渲染重构的信号,使得重构信号与变换信号的第三相似性度量小于公差。

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